{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch.autograd import Variable\n",
    "import torch.nn as nn\n",
    "import torch.nn.init as init\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "import numpy as np\n",
    "from six.moves import cPickle as pickle\n",
    "from six.moves import range\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import torch.backends.cudnn as cudnn\n",
    "cudnn.benchmark = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train set (750, 1, 64, 64) (750, 6)\n"
     ]
    }
   ],
   "source": [
    "pickle_file = 'small_321_train.pickle'\n",
    "\n",
    "with open(pickle_file, 'rb') as f:\n",
    "    save = pickle.load(f)\n",
    "    train_dataset = save['small_data']\n",
    "    train_labels = save['small_target']\n",
    "    del save  # hint to help gc free up memory\n",
    "    print('train set', train_dataset.shape, train_labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UylGWOroPJXP8O6+j5Pn06dNzmrJvvjfvQ2ljRaZmERv4rl1Wfv78+fnY448/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\ntNe1fXATKwOxiF29ZzK7VsWOZ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yGL4EMsLxbl76j6zy5YLytRR22usPG5N36b/YvHeX+O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GPRTtinzKJFWF+8P5uLrYxmFRzZBs22UpG9mw1gW/tpJTKWtbUle5dZPAjHVIuMZmOw2a7M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3Aa55+e5kbcveKytraubD8ZjvY3zPpdPj9OnTc7o7Kiqb/tq6yd7xRu/krdXGFXu3H40l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\nLFsYp1SeRAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f93b6208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20.0, 20.0)\n",
    "f, ax = plt.subplots(nrows=5, ncols=5)\n",
    "\n",
    "im_samples = []\n",
    "\n",
    "for row in range(5):\n",
    "    for i, j in enumerate(np.sort(np.random.randint(0, train_labels.shape[0], size=5))):\n",
    "        im = train_dataset[j].reshape((64, 64, 1))\n",
    "        house_num = ''\n",
    "        for k in np.arange(train_labels[j,0]):\n",
    "            house_num += str(train_labels[j,k+1])\n",
    "        house_num += \"--\" + str(j)\n",
    "        im_samples.extend([j])\n",
    "        ax[row, i].axis('off')\n",
    "        ax[row, i].set_title(house_num, loc='center')\n",
    "        ax[row, i].imshow(im[:,:,0], cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ims1 = [157, 184, 436, 478, 40, 613, 350]\n",
    "ims2 = [383, 260, 14, 389, 531, 495, 270]\n",
    "ims3 = [139, 630, 341, 454, 532]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Net, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(1, 20, 3, padding=(1, 1))\n",
    "        self.bn1 = nn.BatchNorm2d(20)\n",
    "        self.conv2 = nn.Conv2d(20, 40, 3, padding=(1, 1))\n",
    "        self.bn2 = nn.BatchNorm2d(40)\n",
    "        self.conv3 = nn.Conv2d(40, 80, 3, padding=(1, 1))\n",
    "        self.bn3 = nn.BatchNorm2d(80)\n",
    "        self.conv4 = nn.Conv2d(80, 120, 3, padding=(1, 1))\n",
    "        self.bn4 = nn.BatchNorm2d(120)\n",
    "        self.conv5 = nn.Conv2d(120, 160, 3, padding=(1, 1))\n",
    "        self.bn5 = nn.BatchNorm2d(160)\n",
    "        self.conv6 = nn.Conv2d(160, 200, 3, padding=(1, 1))\n",
    "        self.bn6 = nn.BatchNorm2d(200)\n",
    "        self.conv7 = nn.Conv2d(200, 240, 3, padding=(1, 1))\n",
    "        self.bn7 = nn.BatchNorm2d(240)\n",
    "        self.pool = nn.MaxPool2d(2, 2)\n",
    "        self.FC = nn.Linear(960, 1080)\n",
    "        self.bn8 = nn.BatchNorm1d(1080)\n",
    "        self.digitlength = nn.Linear(1080, 7)\n",
    "        self.digit1 = nn.Linear(1080, 10)\n",
    "        self.digit2 = nn.Linear(1080, 10)\n",
    "        self.digit3 = nn.Linear(1080, 10)\n",
    "        self.digit4 = nn.Linear(1080, 10)\n",
    "        self.digit5 = nn.Linear(1080, 10)\n",
    "        self.image = None\n",
    "        \n",
    "    def forward(self, X):\n",
    "        self.image = X\n",
    "        x = self.image\n",
    "        x = self.bn1(F.relu(self.conv1(x)))\n",
    "        x = self.pool(self.bn2(F.relu(self.conv2(x))))\n",
    "        x = self.bn3(F.relu(self.conv3(x)))\n",
    "        x = self.pool(self.bn4(F.relu(self.conv4(x))))\n",
    "        x = self.pool(self.bn5(F.relu(self.conv5(x))))\n",
    "        x = self.pool(self.bn6(F.relu(self.conv6(x))))\n",
    "        x = self.pool(self.bn7(F.relu(self.conv7(x))))\n",
    "        x = x.view(-1, 960)\n",
    "        x = self.bn8(F.relu(self.FC(x)))\n",
    "        yl = self.digitlength(x)\n",
    "        y1 = self.digit1(x)\n",
    "        y2 = self.digit2(x)\n",
    "        y3 = self.digit3(x)\n",
    "        y4 = self.digit4(x)\n",
    "        y5 = self.digit5(x)\n",
    "        return [yl, y1, y2, y3, y4, y5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!\n"
     ]
    }
   ],
   "source": [
    "net = Net()\n",
    "f = open('what_now.pkl', 'rb')\n",
    "net.load_state_dict(torch.load(f))\n",
    "f.close()\n",
    "net.cuda()\n",
    "print(\"!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for param in net.parameters():\n",
    "    if(param.grad is not None):\n",
    "        print(param)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "print(net.image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!\n"
     ]
    }
   ],
   "source": [
    "net.eval()\n",
    "print(\"!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def compute_saliency_maps(X, Y, net):\n",
    "    \"\"\"\n",
    "    Compute a class saliency map using the model for images X and labels y.\n",
    "\n",
    "    Input:\n",
    "    - X: Input images, of shape (N, 1, H, W)\n",
    "    - Y: Labels for X, of shape (N, 6)\n",
    "    - net: A PretrainedCNN that will be used to compute the saliency map.\n",
    "\n",
    "    Returns:\n",
    "    - saliency: An array of shape (N, H, W) giving the saliency maps for the input\n",
    "    images.\n",
    "    \"\"\"\n",
    "    N, xx, H, W = X.shape\n",
    "    saliency = np.zeros((N, H, W))\n",
    "    \n",
    "    ##############################################################################\n",
    "    # TODO: Implement this function. You should use the forward and backward     #\n",
    "    # methods of the PretrainedCNN class, and compute gradients with respect to  #\n",
    "    # the unnormalized class score of the ground-truth classes in y.             #\n",
    "    ##############################################################################\n",
    "    Xt = Variable(torch.from_numpy(X).type(torch.FloatTensor).cuda(), requires_grad=True)\n",
    "    scores = net(Xt)\n",
    "    #len\n",
    "    shape = (N, 7)\n",
    "    d_len = np.zeros(shape)\n",
    "    d_len[np.arange(N), 1] = 1\n",
    "    d_len = torch.from_numpy(d_len).type(torch.FloatTensor).cuda()\n",
    "    \n",
    "    #dig1\n",
    "    shape = (N, 10)\n",
    "    d_dig1 = np.zeros(shape)\n",
    "    d_dig1[np.arange(N), Y[:, 1]] = 1\n",
    "    d_dig1 = torch.from_numpy(d_dig1).type(torch.FloatTensor).cuda()\n",
    "    \n",
    "    #dig2\n",
    "    shape = (N, 10)\n",
    "    d_dig2 = np.zeros(shape)\n",
    "    d_dig2[np.arange(N), Y[:, 2]] = 1\n",
    "    d_dig2 = torch.from_numpy(d_dig2).type(torch.FloatTensor).cuda()\n",
    "    \n",
    "    #dig3\n",
    "    shape = (N, 10)\n",
    "    d_dig3 = np.zeros(shape)\n",
    "    d_dig3[np.arange(N), Y[:, 3]] = 1\n",
    "    d_dig3 = torch.from_numpy(d_dig3).type(torch.FloatTensor).cuda()\n",
    "    \n",
    "    net.zero_grad()\n",
    "    #scores[1].backward(d_dig1)\n",
    "    #scores[2].backward(d_dig2)\n",
    "    scores[3].backward(d_dig3)\n",
    "    dX = net.image\n",
    "    dX = dX.grad.data.cpu().numpy()\n",
    "    \n",
    "    dX = np.abs(dX)\n",
    "    \n",
    "    saliency = dX\n",
    "        \n",
    "    ##############################################################################\n",
    "    #                             END OF YOUR CODE                               #\n",
    "    ##############################################################################\n",
    "    return saliency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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G9QeG9Qv29aPmwr47pxzgctR3OBaHYzNYc4nbt2bpJ4Cl625i6soqTQCXs7gWfkfVlibx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\nzv8HY/ZKMvN4QfoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f8789550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71d7e6d898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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h2t6CNZhoN8da8DtiXSxL9VDpAi20tB0/h78l1pxie/B6ntatNFreYUsdZqElJqqK25mK\nRixCiO6oYxFCdGfurlA2PZkNqyvXaJbptpYpwqxcTdVVIf9ZSHuVPT3bzZHTJPB0c7Sbs8Fzljsu\nx3fIbhPb0TL9Wk23cjlblsB2ZGRu4kpkbmbL1DSfX31L2VT+LGkQZtnBIqIRixCiO+pYhBDdUcci\nhOjO3DWWOF3J/nw23dwyVbfWKbKVaJlCrkL4Kx87liuNpSVtAKeE5HK8lm2sduCL74w1Frajdeo2\nwrpQlhqhOpfbfZap+mzqOluysdLxLKS/dYnHotGIRQjRHXUsQojuqGMRQnRnQ+2EmKWtzOJWuNwy\n5w+06STZ8SzV4pTjLdufZPEG7PdzrmHe3S9qLllszUrHo+bCMS4cP8P6TJZ+lN9hS7rJKk0Ek2ks\nfC3fO3sP2fsF8m96lhSpFU0pJht2DR1dt6arhBAiQR2LEKI76liEEN2Ze2rKqVt8tKSi7El135ZU\nB61xG7Hcuv1F9IVZf6i2BY3Hq3iJLM6FN6TjuJadO8fbe7ekkMzqy+Vqi9HsHbekj1zpWZlO0rpt\ncGZXy/c/S6rKqDm1xMpoxCKE6I46FiFEd+buCsXpyizEuRomZ8M3Hp62XFstHciGpNXQt5p+zNIm\nVC5KrDNPiXII/7Zt20bl6DrxdCs/l22OU8jsCvF0M7tG2a6CsyyP4GurbynLINeayTBbHtGSNqHa\n8aEl5UL17cRnrXV6mdGIRQjRHXUsQojuqGMRQnRn7hrLVF+4NUXketGSTrGaTpwlS39FprFwmaej\ns5B3rm+mC3G4P1NN1UY7q2zxLakxWqaQWzWV7B1WIfyZHa3vvxfZEgVNNwshFkrZsZjZpWb2N2b2\nQzN70sx+d/j7LjM7YGbPDD93VvcSQvxsMGXE8g6AL7j7pwHcBOB2M/ssgPsAHHT3GwAcHMpCCFFr\nLL7soL6/Hv7i4T8HcAeAW4a/PwjgUQD3Trjfud9n8ZOz1AjruYtcFV/Qcm7P1IQxfqJKzcjHs3SK\nHHuSbcvCGgI/t0rrGMutsUgt279kVO+oimuK17fGMWVpI1pgLaTa/iQ+d65xLGa21cweB7AE4IC7\nfxfAbnc/MpxyFMDuLhYJIS54JnUs7n7G3W8CsBfAzWZ2Ix13LI9izsPM7jGzQ2Z2qJo1EEJsDprG\nPe7+KoDvALgdwDEz2wMAw8+lVa7Z7+773H0fh3gLITYnpcZiZtcCeM/dXzWzbQBuA/CfADwC4C4A\n9w8/H67u5e5r3qaD17C0aB0ttKzJYFq2Cqnu3bpWKMI+dqWxRLtZU+F0kqwLZOtMuMzPzd5ppam0\ntF1VjlSxJ5VuEus0y3a9s6QJ6bkVCL+jqUwJkNsD4EEz24rlEc5D7v4tM/trAA+Z2d0AngNw55os\nEEJsOqbMCv0tgM+s8PcTAG5dD6OEEBc2cw3pB9Yetpzt/Mf3rYaNLRnFKtcom+ZsuZaPV64Q1z8O\n0fkYp03ItC4OaWfXiIf+kWo6uRpWZ9kFmcwlqaZ1MzeD75tNr69072pqd7Xn9jyX4feS1T9zZxXS\nL4RYKOpYhBDdUccihOjOXDUWMxtNfWZL1HuGNFfaRzzOOkCrTpBRTUfH45WmlFFN83I5m8qudKFo\nJ2s3ld7A94p2VztfZjtDcttVaS3jc1vqu9L5s+zasF6pQKrp9l5h/KN7dr+jEOJnHnUsQojuqGMR\nQnRnrhrL1q1bR7vwscaShTS3xHVU4e9ZLAbHfHA4PJezuf1qGUK2HUTrbn7xOD+30mui5sL1q3SS\neJy1G762ClOPGg3bzEsL+F7x2VmqTeD8do/PrWJxqlQQ8d78nVUxMbO8/+xYpeVkGstaUzloxCKE\n6I46FiFEd9SxCCG6s9A4FvaFsxiAnsvGMw2m0iOye7OvWvnjLdtktsRxsM0t5dbYkyydZnUtt0fU\nOrK1UEBe/5b1OnxtawwQ29my/ce84lhatufNYm+ksQghFoo6FiFEd9SxCCG6M/d8LJFe6SRbaYkJ\nqOJp4r2qGBA+zmQxEFzmtou+f7XFarbuqFrfwrEXMTajyq/Dz+W1RVmemMquFn1qFrItSCta8/NM\nPQbk650WgUYsQojuqGMRQnRnoa5QCy3uy6z3zsiGma0pF7KUgdXUJNuRpRBsSddQ7UqQtXu1A1+2\nA+NKz4pUdsX2aUl5ylQ7DfTMgJ+xEdwZYO0pFTRiEUJ0Rx2LEKI76liEEN2Zu8YSfbbMf6vC31to\nmSKsfGi2K+omPf3zlnSaFaw58JRxtIvvW4WwxzQTWToCoA61j1PqnGKA65CFy1fh/0ymT1XvNKN1\nR8ZYrt7/emk9s0ynRzRiEUJ0Rx2LEKI76liEEN2Ze9qETGOJPvh6bEmwGvFZVSxKS3h8a0xItoVF\n1R5ZLEp2Lp9fpQDNdKNqCUOluWRaD+tC2Vans6TcyDS0lcpZzFDLMgQgfw/rlVKhItZXW6wKIRbK\n5I7FzLaa2Q/M7FtDeZeZHTCzZ4afO9fPTCHEhUTLiOWrAJ4K5fsAHHT3GwAcHMpCCDFNYzGzvQD+\nGYD/CODfDH++A8Atw+8PAngUwL0T7rXi763MEouSrdnha1kn4O1B4r2q2AOmZd1NpbFEjSHbGgU4\nX9vI0g9WsRdZHfg527ZtG5Uvu+yyUZnbNsJxK2+//faoHDUXPreKY8nSelYaWxZvVelCmeZSvYfs\n22rdFjbSK35s6ojl9wH8DoD4lN3ufmT4/SiA3StdaGb3mNkhMzv01ltvrclIIcSFRdmxmNmvAlhy\n98dWO8eXu8gV/9fl7vvdfZ+77+P/YwkhNidTXKHPAfg1M/sigEsBbDezPwJwzMz2uPsRM9sDYGnK\nAzM3JQv5Xs/ptuzeVdb2lunmltQPrcsBspQL1XKAFjuy6XZuG3ZteLo5S6NQZdDLppu5/i1UIfxV\n6ovY1pXNLa4QM6+0Cus23ezuX3P3ve5+PYAvAfgrd/91AI8AuGs47S4ADzfYK4TYxMwSx3I/gNvM\n7BkAvzSUhRCiLfLW3R/F8uwP3P0EgFv7mySEuNBZaNqETJ9g2L9r2QmwZRq41afOntu6LKElRSSX\nM32qmvaMz+V2Zp3k8ssvH5WvvPLKVe8bjwHnTzdze2VTxpmmAoynn6sdBrPdLtkmDjeoQvrje2sJ\n4Wc7Z9HFZmGWNBGj63oYI4QQEXUsQojuqGMRQnRnoWkTsnnxFv1lynOnlqu5evZtW/zzKvYg+uCV\npsD3yjQWTvPIEdDx2ioMn3WTWGYbK42F2zrauag4lipNQvVdZqkPZklNOS8yDUlpE4QQC0UdixCi\nO+pYhBDdmXscS+azZesSWtIIVP5py3Mr4rWsqfBamEpjidoApwVgnSRbh8R+cksMTLU2Kkt9wPfl\nmBcuZ+3TErfC5SqOJYs3ak1NmcVMta4VytJatqR+qGJesriuapvcqWjEIoTojjoWIUR3NlRI/3pl\nlMtsYDuqoV9LxrTW+sWhcbbT30rl7LmcrqAKU4+wy5W5c1w/fi4vD+AMcvF8dv24nGWQq9JGZLS6\nQkx0WS7E6eYsY56mm4UQC0UdixCiO+pYhBDdWWhIf+97r0blr7b4s63Z89f63CpLe3Y+28TTvDxl\n3JLxPUsFUE1V8nOvuOKKUTlqP6+//vroWKWxxOOzaCxVlv7qfWcpQqsdDuL5LdPLbFeVEjUjW5Yi\njUUIsVDUsQghuqOORQjRnYWG9PfUWzKNYZad4Fp2xuMQdS6z35zVv7KDif555WNn8TVVes1ZbOb2\nyOJ+qviRLAakir1pSQnZ0nYVs+xu2EL1/a91+xdpLEKIhaKORQjRHXUsQojuzF1jifSMCcnuWz0n\n8zErnaAlhWblQ7cs389s5piPV199dVTmGJG4hofrx7EmV1111agc40nYZl4LxJoKpxGI9+I6VDpB\nL42Fqb6dlm+2em48Xukgs6yra9FY1poiViMWIUR31LEIIbqjjkUI0Z25rxWKPlvmr1ZxDFlsSpX3\ngn1d1hVaiDrBa6+9Njq2tLQ0KvPakWwbDs5lUrVHvPcbb7wxOsYay4kTJ0bluE0H6yC7du0aldku\n1mAiO3bsGJW5ndnOWD5+/PjoGNeB9ZlIlY+G1yzFMueMYZtbtA3WiTjHDmsbLTFCmT5TaTn8juN6\noCzWqKXukzoWM3sWwEkAZwCcdvd9ZrYLwP8EcD2AZwHc6e6vTH6yEGLT0uIK/aK73+Tu+4byfQAO\nuvsNAA4OZSGEmMkVugPALcPvDwJ4FMC91UVZ+HgchvGQLBv6AeOhMbsYPATlIV0cClZTk7xc/+TJ\nk+d+P3z48OjYqVOnkPHKK+MBXhzucvpIHr5y+0RXiKeT2Y04duzYqBzrxNPJ7Art3LlzVP7whz+M\nqWRtBwAvvfTSud+fffbZ0bHnnntuVH7zzTdXfQ5/V7wjI7to8fj27dtHx/g9VDs0RveH68f1b8mW\nX4Xpx/efuYnA+a5hTKuRpQttmVqfeqYD+LaZPWZm9wx/2+3uR4bfjwLYPfmpQohNzdQRy+fd/UUz\n+yCAA2b243jQ3d3MVoyyGTqie4Dz/08hhNicTBqxuPuLw88lAN8EcDOAY2a2BwCGn0urXLvf3fe5\n+z4eZgkhNifliMXMLgewxd1PDr//MoD/AOARAHcBuH/4+fCUB2Zh61FHYN+2hWrHuSwVQmsqwug3\nR40AOF9jYb+Y/fNMY6l2WYz3Yv2BNRfWdqJdrLHwdDL759EO1gxY6zp69OionE2L85Q4T+VzCEF8\np9w2PIWcperkc/n987eVlfk98Ptm/S771qr0DfEb5++9WuLSkq5iKlNcod0AvjkYcxGA/+Huf2Fm\n3wPwkJndDeA5AHeuyQIhxKaj7Fjc/acAPr3C308AuHU9jBJCXNgopF8I0Z25p03IUkhGHYE1hZZU\nB1UIM98r+tX83ExTAPJQeva/q1gc9sEjVcrI6Dezj81xLC+//PKoHOvPYejVNhQRrh/Xh9uD2ytq\nQWxHla4gtk8Vep4t+WAbWSdh3Yj1q6irtW7/EaniVrJylcaT7Yp1brExQyMWIUR31LEIIbqjjkUI\n0Z25aizuPvK7s1SNrItU6fSylANMy/aUXGb/lLWA1e475d7xXuy7s2/Pz43twToBayxZHAcfY5+b\n4zxiu3N9WJ/gOB+Op4l15nU13O58PD6r0kmy98IaGtvIdeD3EPWrSq9ar+0/mGxdHTBuSz4W/y21\n6C0asQghuqOORQjRnYW6QjwUzEL62TXia6N7U2U0z6YjqylTHoLHqT0e+lZuFNchXs9TsdUS/Hgv\nbit2q7htY3uwTTw1ne1SwO3Kw2p2KzhsPz6L3Te+lusfp3nZbaxc0GxKnZc0cJnXv8XMd/wOq+l3\n/j4i1dKS+N1W3382/dxtN8YudxFCiIA6FiFEd9SxCCG6s9CQ/ixFJPuulZ+c+fqZ78o2VVOCWSrC\naoq8mjKO06KccoGnTLn+8dlV6DzbmS2NZ60ju7ZKC8F14nvH1AisKXH9uZxNmXL9WJ+JVPoUTzdz\naEOsU6W5tegZ1S4VWeqPluz61Y6TU9GIRQjRHXUsQojuqGMRQnRnrhrLli1bRtpJlgqA/eQq9iDq\nF1W8CBN9YX4ux3xkIe2VxlKlfmhJUZDtZsd+Pz83W5bA2gXbmPn6lcbCuglrP1H7YBurNI5ZesWW\nGJBq6QCnyOS4nixtQkW0s0pFWaWRiFSpEGId+LtaKxqxCCG6o45FCNEddSxCiO7MVWPZunXraMtO\n9kHjVpfVknI+HrURvm+VciFqDBxrkqWxbCXbUhYYayPs21dpLqOdlT+ebSXCvn0VaxHPr5bns+aS\n6SiVtsN1yrYhaYnbqTQW1onYjnh+lTah0pGya7P1b61xLPF7yNq5JR5GIxYhRHfUsQghujNXV+ji\niy/GNddcc65chctHKndmlqXf2e512a6JwNhmHvpyfaKrt9LxbDe7qq3i8cqNZBcshgBUU9VMtlyf\n4bbkZ0U7q6n3bMjO76gqx2u5Dll6BiCfYud3VLmC2fR0FdKfvaeWa7N3JFdICLFQ1LEIIbqjjkUI\n0Z25h/THLPAtWcqrneGyHRYrfzRqLDzdXKW1jLoKayytId2ZrsC+P0/lttiRhYtXu+hlS/+rKWLW\ndnjqPn6kOic2AAAGmUlEQVQbfIy1ryx9BbdNkzZQhMpzW2bLNDIdjM/lcrXcg9syew+VThaPZ0tY\nqvuM7jn5TCGEmMikjsXMrjKzPzWzH5vZU2b282a2y8wOmNkzw8+d622sEOLCYOqI5T8D+At3/0cA\nPg3gKQD3ATjo7jcAODiUhRCi1ljMbAeAXwDwmwDg7u8CeNfM7gBwy3DagwAeBXBvdi93H/mCmb9e\naRvZsvkqhD2LRWHftSKez+k0mWoLk5btH7jtYh2qUPrM169Sc2ZLC9imKq4lWz7AmgqnWOC2inax\nja3LQyKV5pLpdWwjv/+4AyWQa0F8LccAxeMt6Tf4Wr7vesaxfBzAcQD/3cx+YGb/zcwuB7Db3Y8M\n5xwFsHvyU4UQm5opHctFAP4JgP/q7p8B8AbI7fHl/zWt+L8nM7vHzA6Z2SFOTCyE2JxM6VheAPCC\nu393KP8pljuaY2a2BwCGn0srXezu+919n7vv2759ew+bhRAbnFJjcfejZnbYzD7p7k8DuBXAj4b/\n7gJw//Dz4epep0+fxtLS0qjMx98n01CA87WQLEVk5o8CYy2AY0Aqoj/LNmZpLFci+udVLALXP9s6\nhe/Vsg1Fpe3EcrW+qVrv1ZI2IFs7xet7WGNq0VgqG/mdxzbg7WlZJ+JvLb7/an0Xl+N7quKnuL7x\nWl7PFr+lljiWqQFy/xrAN8zsEgA/BfAvsDzaecjM7gbwHIA7Jz9VCLGpmdSxuPvjAPatcOjWvuYI\nITYDcw3pP336NI4fPz4qR+JQkKe2qqFgFpaeZUwDxkM8HjZX094Rnj6swsGzJfk8BGe3isvZdHvW\nVnx+5mKtdG0kC7MH8mUIwLh9Yng/cH7b8nA+C+mvMrllVC4Yt088fuLEidExzj6Xff9MJQ1k33CV\nciN+a1m2PYX0CyEWijoWIUR31LEIIbozV43lzJkzoym3yheOtOgklcbC5aibsN/bktaPj1XZ0jls\nPZZbpoT5WS1Tk3wtazesbWRtx++T68ftkdWJn7tjx4702qhXVVpPS+rSSmPJ0msy/B6y5RLVEpZM\n76hSXmZLHjL9SakphRALRR2LEKI76liEEN2xaml714eZHcdylO41AF6a24OnsRFtAmRXCxvRJmBj\n2rUWmz7m7tdOOXGuHcu5h5odcveVInkXxka0CZBdLWxEm4CNadd62yRXSAjRHXUsQojuLKpj2b+g\n52ZsRJsA2dXCRrQJ2Jh2ratNC9FYhBCbG7lCQojuzLVjMbPbzexpM/uJmS1suxAze8DMlszsifC3\nhe6TZGYfMbPvmNmPzOxJM/vqBrHrUjP7GzP74WDX724EuwYbtg4J3r+1gWx61sz+zsweN7NDG8iu\nue4NNreOxcy2AvgvAH4FwKcAfNnMPjWv5xN/COB2+tui90k6DeC33f1TAD4L4F8O7bNou94B8AV3\n/zSAmwDcbmaf3QB2AcBXsbzH1ftsBJsA4Bfd/aYwnbsR7Jrv3mDuPpf/APw8gL8M5a8B+Nq8nr+C\nPdcDeCKUnwawZ/h9D4CnF2XbYMPDAG7bSHYBuAzA9wH800XbBWDv8I/hCwC+tVHeIYBnAVxDf1t0\nW+0A8P8waKrzsGuertB1AA6H8gvD3zYKG2afJDO7HsBnAHwXG8CuweV4HMs7MRzw5R0bFm3X7wP4\nHQBxOfGibQKWt8H5tpk9Zmb3bBC75r43mMTbFfDlLnwh02VmdgWAPwPwW+4+2ohpUXa5+xl3vwnL\no4SbzezGRdplZr8KYMndH1vtnAW+w88PbfUrWHZnf2ED2DXT3mBrYZ4dy4sAPhLKe4e/bRQm7ZO0\nnpjZxVjuVL7h7n++Uex6H3d/FcB3sKxPLdKuzwH4NTN7FsCfAPiCmf3Rgm0CALj7i8PPJQDfBHDz\nBrBrpr3B1sI8O5bvAbjBzD4+bCPyJQCPzPH5FY9geX8kYOI+ST2x5Sw6fwDgKXf/vQ1k17VmdtXw\n+zYs6z4/XqRd7v41d9/r7tdj+Tv6K3f/9UXaBABmdrmZXfn+7wB+GcATi7bL3Y8COGxmnxz+9P7e\nYOtn15xFpC8C+HsA/xfAv5vns8mOPwZwBMB7WO7N7wZwNZbFwGcAfBvArjnb9HksD0X/FsDjw39f\n3AB2/WMAPxjsegLAvx/+vlC7gn234B/E20W31c8B+OHw35Pvf+OLtmuw4SYAh4b3+L8A7FxPuxR5\nK4TojsRbIUR31LEIIbqjjkUI0R11LEKI7qhjEUJ0Rx2LEKI76liEEN1RxyKE6M7/Bx5vHJ3dMRSK\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71d7f3e400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Vo6U0fmlBtqOoRyH9QojWUccihGgddSxCiNYZqcYSpRdkXYQ1lmhZfRa3Ej03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\nCNE6/x9sAucVhelxOQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71d7fd33c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71d7f8d9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NN900vj7rrLOqvByO4nDsFfprSZ+UlHt1VSll7+h6n6RV834lKSKujYh7IuKe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\nHliMMYPjgcUYMzgeWIwxg+OBxRgzOP8f4qScWRJIbvQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f406a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EEN1ZqMbCRDu6Z7i8LDxBVS9rGaxB7N27d+0z+1pUugjrBpluUoUejHVV+4rY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\nsAghuqOBRQjRHQ0sQojuaGARQnTn/wNQzyTwpfcvXQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f40ade48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f4117cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3D8rxOXEdqhiYLD5l0n+HGrEIIbqjjkUI0R11LEKI7sxcYxlXV5gmHwvfg3No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\no45FCNEddSxCiO78PytA+SXoTWMQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71d7e23978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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WI1vSwC4YT/t6+B1xln5uD78TItvB74Xbw38f2bVjY2NV2btGUVs1Cj3ITiil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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f71f40a2cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_saliency_maps(mask):\n",
    "    mask = np.asarray(mask)\n",
    "    X = train_dataset[mask]\n",
    "    y = train_labels[mask]\n",
    "    saliency = compute_saliency_maps(X, y, net)\n",
    "    for i in range(mask.size):\n",
    "        plt.subplot(2, mask.size, i + 1)\n",
    "        im = X[i].reshape((64, 64, 1))\n",
    "        plt.imshow(im[:,:,0], cmap='gray')\n",
    "        plt.gcf().set_size_inches(25, 25)\n",
    "        plt.show()\n",
    "        plt.subplot(2, mask.size, mask.size + i + 1)\n",
    "        sal = saliency[i].reshape((64, 64, 1))\n",
    "        plt.imshow(sal[:,:,0], cmap='gray')\n",
    "        plt.gcf().set_size_inches(25, 25)\n",
    "        plt.show()\n",
    "  \n",
    "# These are some cherry-picked images that should give good results\n",
    "show_saliency_maps(ims3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 4)\n"
     ]
    }
   ],
   "source": [
    "a = Variable(torch.randn(3, 4)).cuda()\n",
    "print(tuple(a.size()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = Variable(torch.randn(3, 4)).cuda()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c = torch.cat([a, b], 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = a.data.cpu().numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.  0.]\n",
      " [ 0.  0.]]\n"
     ]
    }
   ],
   "source": [
    "print(np.zeros((2, 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
